Papers
Lifted Inference Seen from the Other Side : The Tractable Features
Abhay Jha, Vibhav Gogate, Alexandra Meliou et al.
Linear Algorithms for Online Multitask Classification
Giovanni Cavallanti, Nicoló Cesa-Bianchi, Claudio Gentile
Linear Complementarity for Regularized Policy Evaluation and Improvement
Jeffrey Johns, Christopher Painter-wakefield, Ronald Parr
Linear readout from a neural population with partial correlation data
Adrien Wohrer, Ranulfo Romo, Christian K. Machens
Link Discovery using Graph Feature Tracking
Emile Richard, Nicolas Baskiotis, Theodoros Evgeniou et al.
Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part I: Algorithms and Empirical Evaluation
Constantin F. Aliferis, Alexander Statnikov, Ioannis Tsamardinos et al.
Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part II: Analysis and Extensions
Constantin F. Aliferis, Alexander Statnikov, Ioannis Tsamardinos et al.
Locally Linear Denoising on Image Manifolds
Dian Gong, Fei Sha, Gérard Medioni
Lower Bounds on Rate of Convergence of Cutting Plane Methods
Xinhua Zhang, Ankan Saha, S.v.n. Vishwanathan
LQG-MP: Optimized Path Planning for Robots with Motion Uncertainty and Imperfect State Information
J. V. D. Berg, P. Abbeel and K. Goldberg
LSTD with Random Projections
Mohammad Ghavamzadeh, Alessandro Lazaric, Odalric Maillard et al.
MAP Estimation for Graphical Models by Likelihood Maximization
Akshat Kumar, Shlomo Zilberstein
MAP estimation in Binary MRFs via Bipartite Multi-cuts
Sashank J. Reddi, Sunita Sarawagi, Sundar Vishwanathan
Matched Gene Selection and Committee Classifier for Molecular Classification of Heterogeneous Diseases
Guoqiang Yu, Yuanjian Feng, David J. Miller et al.
Matrix Completion from Noisy Entries
Raghunandan H. Keshavan, Andrea Montanari, Sewoong Oh
Matrix-Variate Dirichlet Process Mixture Models
Zhihua Zhang, Guang Dai, Michael I. Jordan
Maximum Likelihood in Cost-Sensitive Learning: Model Specification, Approximations, and Upper Bounds
Jacek P. Dmochowski, Paul Sajda, Lucas C. Parra
Maximum-likelihood learning of cumulative distribution functions on graphs
Jim Huang, Nebojsa Jojic
Maximum Relative Margin and Data-Dependent Regularization
Pannagadatta K. Shivaswamy, Tony Jebara
Mean Field Variational Approximation for Continuous-Time Bayesian Networks
Ido Cohn, Tal El-Hay, Nir Friedman et al.
Message-passing for Graph-structured Linear Programs: Proximal Methods and Rounding Schemes
Pradeep Ravikumar, Alekh Agarwal, Martin J. Wainwright
Minimum Average Cost Clustering
Kiyohito Nagano, Yoshinobu Kawahara, Satoru Iwata